jmeisele / ml-ops-kafka
Kafka variant of the MLOps Level 1 stack
☆24Updated 2 years ago
Alternatives and similar repositories for ml-ops-kafka:
Users that are interested in ml-ops-kafka are comparing it to the libraries listed below
- Template for data pipelines, ML workflows, API dev and monitoring☆45Updated last year
- How to build and deploy an anonymization API with FastAPI and SpaCy☆71Updated 3 years ago
- Get your MLOps (Level 1) platform started and going fast.☆121Updated 2 years ago
- PoC with FastAPI and Celery to ML inference☆90Updated 2 years ago
- Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'☆119Updated last year
- Working example for serving a ML model using FastAPI and Celery☆75Updated 3 years ago
- Demo Computer Vision Project☆60Updated 2 years ago
- In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits☆105Updated 3 years ago
- Deploy and scale machine learning models with FastAPI, Redis and Docker☆150Updated 3 years ago
- A project from the ml_ops Zoomcamp (DataTalks) using Semiconductor data☆22Updated 2 years ago
- Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker☆102Updated 3 years ago
- Project for real-time anomaly detection using Kafka and python☆59Updated 2 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆109Updated 2 years ago
- A Series of Notebooks on how to start with Kafka and Python☆154Updated 2 weeks ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆232Updated last year
- ⚠️ Development moved to Sourcehut☆50Updated 2 years ago
- PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.☆46Updated last year
- Best practices for engineering ML pipelines.☆37Updated 2 years ago
- A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit☆80Updated 2 years ago
- The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.☆52Updated 2 years ago
- Serving model through api. FastApi + PytorchLightning☆41Updated 3 weeks ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 2 years ago
- Maternal Health Risk prediction MLOps pipeline☆43Updated 2 years ago
- deploying an ML model to Heroku with FastAPI☆50Updated 11 months ago
- ☆14Updated last year
- ☆27Updated 4 years ago
- Completely Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API…☆222Updated 2 years ago
- Katana project is a FastAPI template for ASAP 🚀 ML API deployment☆111Updated last year
- ☆67Updated 5 years ago